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Integrate generative AI capabilities into Microsoft Office using Amazon Bedrock

AWS Machine Learning

Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. nn en nn nnAWS (Amazon Web Services) is a cloud computing platform that offers a broad set of global services including computing, storage, databases, analytics, machine learning, and more.

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Putting Creativity Back into the Marketer’s Hands  

Optimove

Enhanced Control Over Complex Marketing : With tools like predictive analytics and real-time personalization, marketers can anticipate customer needs, automate complex workflows, and maintain precise control over multi-channel strategies. Optimoves AI History Started in 2012 AI-orchestrated marketing is a hallmark of Optimove.

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Prepare data at scale in Amazon SageMaker Studio using serverless AWS Glue interactive sessions

AWS Machine Learning

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. Data engineers and data scientists can now interactively prepare data at scale using their Studio notebook’s built-in integration with serverless Spark sessions managed by AWS Glue.

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The Forrester Wave™ Recognizes Optimove as a Good Fit for Digital-First Marketers in its Cross-Channel Marketing Hubs, Q4 2024 

Optimove

The CRM Marketer Evolution’s Curve Guide Download Now >> AI Capabilities with OptiGenie and Self-Optimizing Campaigns Forrester recognized Optimove’s AI tools, including OptiGenie , which builds on our original OptiBot assistant to support marketers with both creative and analytical tasks.

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Data Snapshot: Customer Experience Expectations and Plans for 2015

Experience Matters

We compared the results of this survey to the results of similar surveys that we completed in Q4 of 2010, Q4 of 2011, Q4 of 2012, and Q4 of 2013. Social media and phone self-service interactions were the only areas that did not gain momentum. 81% of respondents expect to put more focus on customer insights and analytics.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning

This allows SageMaker Studio users to perform petabyte-scale interactive data preparation, exploration, and machine learning (ML) directly within their familiar Studio notebooks, without the need to manage the underlying compute infrastructure. Prerequisites Before you get started, complete the prerequisite steps in this section.

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Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

AWS Machine Learning

In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru coffee shops and fast-food establishments. A strategic leader with expertise in cloud architecture, generative AI, machine learning, and data analytics.